2012ApJ...750...88Z

We perform a statistical analysis of the temporal and spectral properties of the latest Fermi gamma-ray bursts (GRBs) to revisit the classification of GRBs. We find that the bimodalities of duration and the energy ratio (E _peak/Fluence) and the anti-correlation between spectral hardness (hardness ratio (HR), peak energy, and spectral index) and duration (T₉₀) support the long/soft-short/hard classification scheme for Fermi GRBs. The HR-T₉₀ anti-correlation strongly depends on the spectral shape of GRBs and energy bands, and the bursts with the curved spectra in the typical BATSE energy bands show a tighter anti-correlation than those with the power-law spectra in the typical BAT energy bands. This might explain why the HR-T₉₀correlation is not evident for those GRB samples detected by instruments like Swift with a narrower/softer energy bandpass. We also analyze the intrinsic energy correlation for the GRBs with measured redshifts and well-defined peak energies. The current sample suggests E_p, rest_= 2455x(E_iso/10⁵²)^0.59 for short GRBs, significantly different from that for long GRBs. However, both the long and short GRBs comply with the same E_p, rest_–Liso_correlation.